Next-Gen Manhole Monitoring: Autoencoder-Assisted Anomaly Detection

In various regions, the maintenance of manholes is imperative, given the potential consequences for public health and safety. Neglecting this responsibility can result in severe outcomes, including loss of lives and the spread of diseases within the community. To address these challenges, an advance...

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Veröffentlicht in:	2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC) S. 1426 - 1433
Hauptverfasser:	Krishnan, R. Santhana, Gopikumar, S., Muthu, A. Essaki, Raj, J. Relin Francis, Kumari, D. Abitha, Malar, P. Stella Rose
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.06.2024
Schlagworte:	Anomaly Detection Autoencoder Cloud computing Deep learning Gases Hazard Management Internet of Things Maintenance Manhole Monitoring Public Health Sensor Technology Servers Solar Power Surveillance Training
Online-Zugang:	Volltext
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